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Download weights from huggingface to help us save bandwith #109
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Hi @Jainam213! Thank you for your pull request and welcome to our community. Action RequiredIn order to merge any pull request (code, docs, etc.), we require contributors to sign our Contributor License Agreement, and we don't seem to have one on file for you. ProcessIn order for us to review and merge your suggested changes, please sign at https://code.facebook.com/cla. If you are contributing on behalf of someone else (eg your employer), the individual CLA may not be sufficient and your employer may need to sign the corporate CLA. Once the CLA is signed, our tooling will perform checks and validations. Afterwards, the pull request will be tagged with If you have received this in error or have any questions, please contact us at cla@meta.com. Thanks! |
Thank you for signing our Contributor License Agreement. We can now accept your code for this (and any) Meta Open Source project. Thanks! |
Thank you for signing our Contributor License Agreement. We can now accept your code for this (and any) Meta Open Source project. Thanks! |
This will save so much bandwidth. Thanks! |
LGTM |
🚀 LGTM 🚀 🚀 |
it’s a dataset rather than a model? |
Its uploaded as a dataset but check our the files the weights are there |
The repository shows that it has been lost. Is there a problem? |
Unlike torrents, Huggingface repos arent immutable, and Meta has been pressuring HF to remove repos that contain LLaMA models, so just try focusing effort on seeding the main torrent. |
Just to be clear. There is no legal reason why Huggingface removed these weights. (As weights are not copyrightable). They are just doing this to be on the good side of Meta. |
How could be loaded a pytorch model if we had separated .pth files for the weights? |
I guess uploading to other sources may be an option too 😄 |
LGTM |
LLAMA 2 weights are now on HF |
The torrent seed is extremely slow this should definitely help out